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Football Data Analytics Internship Jobs in Remote, OR

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Football Data Analytics Internship information

See Remote, OR salary details

$12

$22

$42

How much do football data analytics internship jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for football data analytics internship in Remote, OR is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.47 per hour, depending on experience, location, and employer.

What is a football data analytics internship?

A Football Data Analytics Internship is a temporary role where interns analyze football-related data to provide insights for teams, analysts, or organizations. Responsibilities may include data collection, statistical analysis, performance evaluation, and assisting with predictive modeling. Interns typically work with software like Python, R, Excel, and SQL to interpret data and present findings. This role helps interns gain practical experience in sports analytics, improving their technical and analytical skills.

What types of projects or daily tasks are typically assigned to football data analytics interns?

As a Football Data Analytics Intern, you can expect to work on tasks such as collecting and cleaning match data, conducting statistical analyses of player and team performance, and generating reports or visualizations for coaches and analysts. Interns often support ongoing research projects, contribute to scouting or tactical analyses, and may assist in developing predictive models. Collaboration with full-time analysts, coaches, and sometimes technical staff is common, providing valuable exposure to different areas of football operations. This variety of tasks helps interns develop both technical and applied skills relevant to a career in sports analytics.

What are the key skills and qualifications needed to thrive in the football data analytics internship position, and why are they important?

To thrive as a Football Data Analytics Intern, you need a solid understanding of statistics, data analysis, and football tactics, often demonstrated through coursework in data science, mathematics, or a related field. Experience with programming languages such as Python or R, familiarity with tools like Excel and Tableau, and knowledge of sports analytics software are commonly expected. Strong attention to detail, effective communication, and the ability to collaborate within a fast-paced team environment are highly valued soft skills. These abilities enable interns to extract actionable insights, clearly present findings, and contribute to data-driven decision-making within football organizations.

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Football Data Analytics Internship jobs near you
Infographic showing various Football Data Analytics Internship job openings in Remote, OR as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $46,763 per year, or $22.5 per hour.

Junior Financial Analyst

Star Step Performance Coatings

Myrtle Point, OR • On-site

Full-time

Posted 7 days ago

Job description

Junior Financial Analyst

Location: Chicagoland Area, Must be Located near the Chicagoland Area (Onsite with Hybrid Flexibility AFTER 90 Days) Employment Type: Full-Time Industry: Performance Coatings, Architectural Paints, OEM Coatings, Powder Coatings Ownership Structure: Private Equity Sponsored Company Revenue: Approximately $70 Million

Position Overview

We are seeking a motivated and analytical Junior Financial Analyst to support financial planning, reporting, and operational analysis across a growing performance coatings platform. This role offers an excellent opportunity to gain hands-on experience in manufacturing finance, business operations, and private equity-backed environments while working closely with senior leadership and the business controllers.

The ideal candidate will possess strong analytical skills, attention to detail, and a desire to learn financial modeling, budgeting, forecasting, and business performance analysis within an industrial manufacturing setting. This position will support key decision-making processes by providing accurate financial insights and reporting.

Key Responsibilities

  • Assist with monthly, quarterly, and annual financial reporting processes.
  • Support budgeting, forecasting, and long-range planning activities.
  • Analyze financial results and identify significant variances from budget and forecast.
  • Prepare financial dashboards, KPI reports, and management presentations.
  • Monitor revenue, costs, gross margins, and profitability trends across product lines.
  • Assist with inventory, working capital, and cash flow analysis.
  • Support manufacturing and operational teams with financial performance reporting.
  • Conduct ad hoc financial analyses to support strategic and operational decision-making.
  • Maintain and improve financial models used for forecasting and business planning.
  • Assist with data collection and reporting for lenders, investors, and management teams.
  • Support pricing, margin, and cost analysis initiatives.
  • Participate in special projects, including acquisition analysis and integration support as needed.

Qualifications

  • Bachelor's degree in Finance, Accounting, Economics, Business, or a related field.
  • 0-3 years of experience in financial analysis, accounting, corporate finance, or related roles.
  • Strong proficiency in Microsoft Excel and financial modeling.
  • Excellent analytical, organizational, and problem-solving skills.
  • Strong attention to detail and accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • Internship or experience within manufacturing, industrial products, chemicals, coatings, or related industries.
  • Experience with ERP systems and financial reporting tools.
  • Knowledge of budgeting, forecasting, and financial statement analysis.
  • Familiarity with Power BI, Tableau, or other business intelligence platforms.
  • Progress toward CPA, CMA, CFA, or MBA credentials is a plus.

Critical Success Factors

  • Strong analytical and quantitative aptitude.
  • Curiosity and willingness to learn complex business operations.
  • Ability to translate data into actionable insights.
  • High level of professionalism and accountability.
  • Collaborative mindset and ability to work cross-functionally.
  • Strong Excel and financial reporting capabilities.

Initial Priorities (First 90 Days)

  • Learn company operations, products, and key financial drivers.
  • Support monthly reporting and variance analysis processes.
  • Assist in maintaining budgeting and forecasting models.
  • Develop familiarity with manufacturing cost structures and KPIs.
  • Build relationships with finance, operations, and commercial teams.
  • Contribute to profitability, inventory, and working capital analyses.
  • Improve reporting efficiency through data organization and process enhancements.

Why Join Us?

This role offers exceptional exposure to senior leadership, private equity ownership, and the financial operations of a leading manufacturing business. The successful candidate will gain valuable experience in financial planning and analysis, operational finance, and strategic business decision-making while building a strong foundation for future career growth within finance and corporate leadership.